At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

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Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Overview

We are seeking a senior leader to define and scale R&D knowledge and retrieval capabilities that power GenAI experiences across R&D.

Reporting to the VP, Data Strategy and Products, this role will lead the Knowledge Management team, spanning Knowledge Graph design and engineering, Ontology design and engineering, and semantic layer definition to enable governed, reusable, and AI-ready enterprise knowledge.

This role will operate at the intersection of AI/ML, data products, data platforms, and scientific workflows, ensuring that GenAI systems can reliably retrieve, reason over, and synthesize information from diverse biomedical and operational data sources.

In close partnership with the broader DS&P and JJT, the leader will define retrieval architectures for agentic AI systems and user-facing applications, harmonize data interfaces and ensure scalable, governed access to R&D knowledge assets.

The role requires both technical depth and organizational navigation, as it bridges GenAI product teams, data strategy and products owners, and scientific stakeholders.

Key Responsibilities

Knowledge Management Leadership

• Lead and grow a multidisciplinary Knowledge Management organization, including Knowledge Graph engineers, Ontology engineers/designers, and semantic layer practitioners; set vision, priorities, and ways of working.

• Own the roadmap for R&D knowledge representation (knowledge graph modeling patterns, ontology strategy, semantic layer standards) aligned to GenAI and R&D outcomes.

• Establish the language, identity, and sematic consistency of enterprise assets and processes so systems, people, analytics, and AI can operate from shared truth.

• Educate and promote use of standard taxonomies and identifiers across the organization.

• Establish operating mechanisms for quality, reuse, and stewardship of semantic assets (definitions, taxonomies/ontologies, entity models, metadata) across domains.

• Partner with platform, governance, and product teams to ensure semantic assets are discoverable, versioned, and governed and can be consumed through retrieval pipelines and APIs.

GenAI Retrieval Architecture

• Shape AI-ready data through integration, semantics, and reusable data products—grounded in real R&D use cases and outcomes

• Define retrieval strategies supporting agentic AI systems and user-facing GenAI applications.

• Design approaches for semantic retrieval, knowledge grounding, and contextual data integration across diverse R&D datasets.

• Guide the development of retrieval pipelines that enable reliable question answering, reasoning, and scientific insight generation.

• Establish best practices for RAG (Retrieval-Augmented Generation) architectures in regulated scientific environments.

Data Interface & Platform Alignment

• In close partnership with JJT, harmonize and unify access to enterprise data assets.

• Partner with DS&P Data Products & Governance team on defining standards for data interfaces, and retrieval APIs that support GenAI applications.

• Ensure alignment between GenAI product requirements and enterprise data infrastructure strategy.

• Act as a bridge between R&D data users, GenAI product teams, and platform owners.

Knowledge Systems & Data Strategy

• Partner with DSH & JJT on Identifying and curating high-value knowledge sources across discovery, development, clinical, and regulatory domains.

• Partner with DS&P Data Products & Governance team & JJT to define data strategies for integrating structured data, documents, knowledge graphs, and scientific literature.

• Establish principles for data provenance, traceability, and governance in AI-assisted scientific workflows.

Cross-Functional Collaboration

• Work closely with:

  • GenAI product teams

  • R&D Data Science groups

  • JJIT platform and architecture teams

  • Scientific domain experts

  • Partners in R&D TAs and functions

• Translate data needs of complex scientific workflows into data access and retrieval architectures.

Governance & Quality

• Ensure that retrieval systems meet standards for:

  • reproducibility

  • traceability

  • auditability

  • responsible AI use in regulated environments.

Qualifications

Required

• Formal training and experience in life sciences, biomedical research, or pharmaceutical R&D.

• Proven experience leading and developing high-performing technical teams, including hiring, coaching, and setting performance expectations.

• Demonstrated success driving cross-functional programs that align product, platform, and governance stakeholders around shared roadmaps and measurable outcomes.

• Advanced degree in computer science, data science, computational biology, bioinformatics, or related field.

• Deep experience designing data architectures or knowledge systems supporting AI/ML applications.

• Strong understanding of information retrieval, semantic search, and RAG architectures.

• Experience working with large-scale enterprise data platforms.

• Demonstrated ability to collaborate across technical, scientific, and platform teams.

Preferred

• Familiarity with scientific data modalities (omics, clinical data, literature, regulatory documents).

• Experience building knowledge graphs or R&D knowledge systems.

• Exposure to GenAI platforms, agentic systems, and Model Context Protocols (MCPs).

• Hands-on familiarity with ontology engineering, semantic modeling practices, and knowledge graph development lifecycles in enterprise settings.

• Experience defining or operationalizing a semantic layer (common business/scientific definitions, metrics, and governed concepts) to improve consistency across data products and analytics/AI use cases.

Impact

This role will define how Generative AI systems access and reason over R&D knowledge across R&D. By establishing robust retrieval architectures and aligning with enterprise data platforms, this leader will help enable scalable AI capabilities that accelerate scientific discovery and development.

 

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.  

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
 

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Required Skills:

 

 

Preferred Skills:

Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking

 

 

The anticipated base pay range for this position is :

$196,000.00 - $342,700.00

Additional Description for Pay Transparency:

This position is eligible to participate in the Company’s long-term incentive program.

Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:

Vacation –120 hours per calendar year

Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year

Holiday pay, including Floating Holidays –13 days per calendar year

Work, Personal and Family Time - up to 40 hours per calendar year

Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child

Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year

Caregiver Leave – 80 hours in a 52-week rolling period10 days

Volunteer Leave – 32 hours per calendar year

Military Spouse Time-Off – 80 hours per calendar year

For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits